Viewing Collection: indicators

{
  "indicator": {
    "label": "Perception of ''petty'' corruption for land services - Serious problem",
    "description": "This indicator measures the weghted proportion (%) of respondants who percevied petty corruption for land services as a SERIOUS PROBLEM. In particuar, the 2009 round of the Global Corruption Barometer included the following question: "How serious do you think is in this country the problem of bribes being paid to land authorities to obtain favourable decisions in selling, buying, leasing, inheriting and registering land, or in land tax declaration, or in handling land disputes?" Possible answers were the followings: - Not a problem at all - Moderate - Average - Serious - Very serious problem - Dont know / No Answer (NA) We used the weights provided in the original dataset provided by TI. For more information around the TI's GCB please visit: https://www.transparency.org/news/feature/global_corruption_barometer_ci...",
    "id": "TI-GCB-PPCL.S",
    "dataset": "TI-GCB",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "land governance;delinquent behaviour;land use;land investments;land administration;",
    "related_themes": "Land Stakeholders & Institutions;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-GCB-PPCL.S"
}

{
  "indicator": {
    "label": "Perception of ''petty'' corruption for land services - Very serious problem",
    "description": "This indicator measures the weghted proportion (%) of respondants who percevied petty corruption for land services as a VERY SERIOUS PROBLEM. In particuar, the 2009 round of the Global Corruption Barometer included the following question: "How serious do you think is in this country the problem of bribes being paid to land authorities to obtain favourable decisions in selling, buying, leasing, inheriting and registering land, or in land tax declaration, or in handling land disputes?" Possible answers were the followings: - Not a problem at all - Moderate - Average - Serious - Very serious problem - Dont know / No Answer (NA) We used the weights provided in the original dataset provided by TI. For more information around the TI's GCB please visit: https://www.transparency.org/news/feature/global_corruption_barometer_ci...",
    "id": "TI-GCB-PPCL.VS",
    "dataset": "TI-GCB",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "land governance;delinquent behaviour;land use;land investments;land administration;",
    "related_themes": "Land Stakeholders & Institutions;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-GCB-PPCL.VS"
}

{
  "indicator": {
    "label": "Perception of \"grand\" or political corruption in land matters",
    "description": "This indicator measures respondent's perception about \"grand\" or political corruption in land matters. In particuar, the 2009 round of the Global Corruption Barometer included the following question: \"How serious do you think the problem of grand or political corruption in land matters is in this country?\" Possible answer were the followings: - Not a problem at all - Moderate - Average - Serious - Very serious problem - Dont know/ No answer (NA) We used the weights provided in the original dataset provided by TI and calculated the weighted proportion of repondants chosing each answer, by country. For more information around the TI's GCB please visit:https://www.transparency.org/news/feature/global_corruption_barometer_ci...",
    "id": "TI-GCB-GPCL",
    "dataset": "TI-GCB",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "delinquent behaviour;",
    "related_themes": "Land Stakeholders & Institutions;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-GCB-GPCL"
}

{
  "indicator": {
    "label": "Perception of ''petty'' corruption for land services",
    "description": "This indicator measures respondent's perception about \"petty\" corruption in the land sector. In particular, the 2009 round of the Global Corruption Barometer included the following question: \"How serious do you think is in this country the problem of bribes being paid to land authorities to obtain favourable decisions in selling, buying, leasing, inheriting and registering land, or in land tax declaration, or in handling land disputes?\" Possible answers were the followings: - Not a problem at all - Moderate - Average - Serious - Very serious problem - Dont know / No Answer (NA) We used the weights provided in the original dataset provided by TI and calculated the weighted proportion of repondants chosing each answer, by country. For more information around the TI's GCB please visit:https://www.transparency.org/news/feature/global_corruption_barometer_ci...",
    "id": "TI-GCB-PPCL",
    "dataset": "TI-GCB",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "delinquent behaviour;",
    "related_themes": "Land Stakeholders & Institutions;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "TI-GCB-PPCL"
}

{
  "indicator": {
    "label": "HDI Rank",
    "description": "Position in the world's HDI - Human Devlopment Index ranking.",
    "id": "UNDP-HDI-RANKING",
    "dataset": "UNDP-HDI",
    "measurement_unit": "Rank",
    "picture": "",
    "related_landvoc_concepts": "poverty;land governance;security of tenure (land);sustainable development;",
    "related_themes": "Socio-Economic & Institutional Context;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UNDP-HDI-RANKING"
}

{
  "indicator": {
    "label": "Human Development Index (HDI)",
    "description": "The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. Highier values are related to higher levels of human development.",
    "id": "UNDP-HDI-INDEX",
    "dataset": "UNDP-HDI",
    "measurement_unit": "Index (0; 1)",
    "picture": "",
    "related_landvoc_concepts": "food security;sustainable development;security of tenure (land);poverty;",
    "related_themes": "Socio-Economic & Institutional Context;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UNDP-HDI-INDEX"
}

{
  "indicator": {
    "label": "Drylands - Additional dryland areas",
    "description": "This indicator measures the total dryland area (in sq. km) that can be defined as additional dryland area, in a given country. Additional drylands areas include areas that might not fall - based on the ratio of precipitation to potential evapotranspiration (P/PET) - within the intervals traditionally used to identify arid (0.06 - 0.20 P/PET), semiarid (0.21 - 0.50 P/PET) and subhumid areas (0.51 - 0.65 P/PET). Based on expert knowledge, the following ecoregions are likely to include dryland and dry-subhumid features: Selenge-Orkhon forest steppe Tian Shan montane steppe and meadows Northwestern Himalayan alpine shrub and meadows Central Tibetan Plateau alpine steppe Southeast Tibet shrublands and meadows Pamir alpine desert and tundra Yarlung Tsangpo arid steppe Hawaii tropical low shrublands North Tibetan Plateau-Kunlun Mountains alpine desert Hawaii tropical high shrublands, Maputaland-Pondoland bushland and thickets Ascension scrub and grasslands Drakensberg alti-montane grasslands and woodlands  The values of this indicator have been aggregated at the country level by ILRI, in collaboration with the ILC's Rangelands initiative, based on: UNEP-WCMC (2007): A spatial analysis approach to the global delineation of dryland areas of relevance to the CBD Programme of Work on Dry and Subhumid Lands. Dataset based on spatial analysis between WWF terrestrial ecoregions (WWF-US, 2004) and aridity zones (CRU/UEA; UNEPGRID, 1991). Dataset checked and refined to remove many gaps, overlaps and slivers (July 2014).",
    "id": "UNEP-WCMC-DRY.ADD.DRYAREAS",
    "dataset": "UNEP-WCMC-DRY",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "pastoral lands;agropastoral systems;rangelands;",
    "related_themes": "Land, Climate Change & Environment;Rangelands, Drylands & Pastoralism;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UNEP-WCMC-DRY.ADD.DRYAREAS"
}

{
  "indicator": {
    "label": "Drylands - Subhumid areas (0.51 - 0.65 P/PET)",
    "description": "This indicator measures the total dryland area (in sq. km) that can be defined as subhumid, in a given country. Aridity zones were derived from an Aridity Index (AI) which is calculated as the ratio of precipitation to potential evapotranspiration (P/PET). Subhumid areas fall into the 0.50 - 0.65 P/PET interval.  The values of this indicator have been aggregated at the country level by ILRI, in collaboration with the ILC's Rangelands initiative, based on: UNEP-WCMC (2007): A spatial analysis approach to the global delineation of dryland areas of relevance to the CBD Programme of Work on Dry and Subhumid Lands. Dataset based on spatial analysis between WWF terrestrial ecoregions (WWF-US, 2004) and aridity zones (CRU/UEA; UNEPGRID, 1991). Dataset checked and refined to remove many gaps, overlaps and slivers (July 2014).",
    "id": "UNEP-WCMC-DRY.SUBHUMID",
    "dataset": "UNEP-WCMC-DRY",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "agropastoral systems;rangelands;pastoral lands;",
    "related_themes": "Rangelands, Drylands & Pastoralism;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UNEP-WCMC-DRY.SUBHUMID"
}

{
  "indicator": {
    "label": "Drylands - Semiarid areas (0.21 - 0.50 P/PET)",
    "description": "This indicator measures the total dryland area (in sq. km) that can be defined as semiarid, in a given country. Aridity zones were derived from an Aridity Index (AI) which is calculated as the ratio of precipitation to potential evapotranspiration (P/PET). Semiarid areas fall into the 0.20 - 0.50 P/PET interval.  The values of this indicator have been aggregated at the country level by ILRI, in collaboration with the ILC's Rangelands initiative, based on: UNEP-WCMC (2007): A spatial analysis approach to the global delineation of dryland areas of relevance to the CBD Programme of Work on Dry and Subhumid Lands. Dataset based on spatial analysis between WWF terrestrial ecoregions (WWF-US, 2004) and aridity zones (CRU/UEA; UNEPGRID, 1991). Dataset checked and refined to remove many gaps, overlaps and slivers (July 2014).",
    "id": "UNEP-WCMC-DRY.SEMIARID",
    "dataset": "UNEP-WCMC-DRY",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "agropastoral systems;rangelands;pastoral lands;",
    "related_themes": "Rangelands, Drylands & Pastoralism;Land, Climate Change & Environment;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UNEP-WCMC-DRY.SEMIARID"
}

{
  "indicator": {
    "label": "Drylands - Arid areas (0.06 - 0.20 P/PET)",
    "description": "This indicator measures the total dryland area (in sq. km) that can be defined as arid, in a given country. Aridity zones were derived from an Aridity Index (AI) which is calculated as the ratio of precipitation to potential evapotranspiration (P/PET). Arid areas fall into the 0.06 - 0.20 P/PET interval.  The values of this indicator have been aggregated at the country level by ILRI, in collaboration with the ILC's Rangelands initiative, based on: UNEP-WCMC (2007): A spatial analysis approach to the global delineation of dryland areas of relevance to the CBD Programme of Work on Dry and Subhumid Lands. Dataset based on spatial analysis between WWF terrestrial ecoregions (WWF-US, 2004) and aridity zones (CRU/UEA; UNEPGRID, 1991). Dataset checked and refined to remove many gaps, overlaps and slivers (July 2014).",
    "id": "UNEP-WCMC-DRY.ARID",
    "dataset": "UNEP-WCMC-DRY",
    "measurement_unit": "",
    "picture": "",
    "related_landvoc_concepts": "pastoral lands;agropastoral systems;rangelands;",
    "related_themes": "Land, Climate Change & Environment;Rangelands, Drylands & Pastoralism;",
    "related_overarching_categories": ""
  }
}

{
  "source_url": "UNEP-WCMC-DRY.ARID"
}